LENOVO 83CV
Geekbench AI Score
517
Single Precision Score
238
Half Precision Score
996
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jaalmasudi |
| Upload Date | October 23 2025 10:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
99% |
3466
646.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
3703
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1756
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
2396
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (Q)
|
86% |
250
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.11 IPS |
|
|
Face Detection (Q)
|
97% |
683
8.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
825
6.58 IPS |
|
|
Style Transfer (SP)
|
100% |
2385
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1737
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3789
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.66 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
86
115.1 IPS |
|
|
Text Classification (HP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.1 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.02 IPS |
|
|
Machine Translation (Q)
|
65% |
426
8.55 IPS |
